This article, the first of three, describes how to use a code-oriented data science approach to Google Analytics data from a blog. It creates custom views of raw GA data while hiding the complexity of the Google Analytics data and interface Read more →

RStudio analyzes how the California Department of Public Health built a COVID-19 dashboard in R and Shiny that now serves millions of California citizens. Read more →

Michael Lippis of The Outlook podcast recently interviewed RStudio's Lou Bajuk to discuss open source data science, support for R and Python, and how leaders are getting value from data science. Read more →

Over the last few years, more companies have begun migrating their data science work to the cloud. As they do, they naturally want to bring along their favorite data science tools, including RStudio, R, and Python. In this blog post, we discuss the various ways RStudio products can be a part of that journey. Read more →

When our customers ask us why RStudio's products support Python as well, we have a simple answer: It's because our data shows that our customers use R and Python for different tasks Read more →

Photo by Kelly Sikkema on Unsplash Surviving the Data Deluge Many of the strategies at my old investment shop were thematically oriented. Among them was the notion of the “data deluge.” We sought to invest in companies that were positioned to help other companies manage the exponentially growing torrent of data arriving daily and turn that data into actionable business intelligence. Ironically, we ourselves struggled to effectively use our own data. Read more →

Andy Nicholls and Michael Rimler from healthcare firm GlaxoSmithKline plc (GSK) answer questions posed during their recent webinar, Using R to Drive Agility in Clinical Reporting. Read more →

Read The Forrester Wave™: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020 Report to learn why RStudio was named a Strong Performer by this independent research firm, and received the highest scores possible in the evaluation criteria of security, apps, open source and platform infrastructure. Read more →

To help address some of the uncertainty data science leaders may be feeling heading into the fall planning season, we note three new resources to help your team learn new skills and communicate their value better. Read more →

In this post, we answer questions raised by participants and attendees during our recent Debunking R & Python Myths webinar. Our bottom line was to use the tools that let you be most productive in the shortest amount of time. Read more →